Latest AI and machine learning research in surgery for healthcare professionals.
Robotic harvesting research has seen significant achievements in the past decade, with breakthroughs being made in machine vision, robot manipulation, autonomous navigation and mapping. However, the missing capability of obstacle handling during the grasping process has severely reduced harvest success rate and limited the overall performance of robotic harvesting. This work focuses on leaf interf...
INTRODUCTION/BACKGROUND: The surgical residency model assumes that upon completion, a surgeon is ready to practice and grow independently. However, many surgeons fail to improve after reaching proficiency, which in certain instances has correlated with worse clinical outcomes. Coaching addresses this problem and furthers surgeons' education post-residency. Currently, surgical coaching programs foc...
This study aimed to evaluate the performance of a deep-learning model to evaluate knee osteoarthritis using Kellgren-Lawrence grading in real-life kne...
PURPOSE: This multi-institutional study aimed to assess the outcomes of laparoscopic ureterocalicostomy (LUC) and robot-assisted laparoscopic ureteroc...
The study aims to measure the effectiveness of an AI-based traumatic intracranial hemorrhage prediction model in the decisions of emergency physicians...
With the extension of remote-access head and neck surgery to improve postoperative cosmetic outcomes, a robotic or endoscopic procedure was developed ...
In this paper, a bilateral haptic virtual surgery simulation system under a hybrid controller was studied. An analogue controller realized by a field ...
BACKGROUND: Esophageal cancer surgery is technically highly demanding. During the past decade robot-assisted surgery has successfully been introduced ...
Tissue recognition is a critical process during a Robot-assisted minimally invasive surgery (RMIS) and it relies on the involvement of advanced sensin...
The use of robotics is a growing area within the field of surgery, especially in orthopaedics. To date, there is no literature examining orthopaedic t...
Partial nephrectomy (PN) is the gold standard surgical treatment for localized kidney cancer. The objective of our study was to compare clinical and p...
PURPOSE: Over 4.83 million spine surgery procedures are performed annually around the world. With the considerable caseload and the precision needed t...
INTRODUCTION: Accurate disclosure of conflicts of interest (COI) is critical to interpretation of study results, especially when industry interests ar...
Recent decades have seen the rapid progression of minimally invasive surgery in urology with continuing developments in robotic technology paving ways...
OBJECTIVES: To evaluate the safety and efficacy of the hinotori™ Surgical Robot System in preclinical and clinical studies.
INTRODUCTION: Vaginal reconstruction using the posterior vaginal wall is required following radical cystectomy in women with resection of the uterus, ...
The use of robotic-assisted keyhole surgery in gynaecology has expanded in recent years owing to technical advances. These include 3D viewing leading ...
Developing image-guided robotic systems requires access to flexible, open-source software. For image guidance, the open-source medical imaging platfor...
Brain tumors are one of the most dangerous diseases that affect human health and maybe result in death. Detection of brain tumors can be made by using...